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  1. CONTRIBUTING.md

        python tf_doctest.py --file=<file_path>
        ```
    
        This will run it using your installed version of TensorFlow. To be sure
        you're running the same code that you're testing:
    
        *   Use an up to date [tf-nightly](https://pypi.org/project/tf-nightly/)
            `pip install -U tf-nightly`
        *   Rebase your pull request onto a recent pull from
            [TensorFlow's](https://github.com/tensorflow/tensorflow) master branch.
    
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  2. RELEASE.md

            optimizer.
        *   **Learning rate schedule access.** When using a `LearningRateSchedule`,
            The new optimizer's `learning_rate` property returns the
            current learning rate value instead of a `LearningRateSchedule` object
            as before. If you need to access the `LearningRateSchedule` object,
            please use `optimizer._learning_rate`.
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